refactor(lotto): Phase 1 코드리뷰 반영 (로컬 RNG·write-once·가드·테스트 보강)

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

lotto/tests/test_backtest_db.py

@@ -29,3 +29,50 @@ def test_backtest_runs_unique(monkeypatch):
     rows = db.get_backtest_runs(draw_no=100)
     assert len(rows) == 1
     assert rows[0]["m3"] == 2  # 마지막 값으로 갱신
+
+
+_SCORES = {
+    "score_total": 1.23,
+    "score_frequency": 0.30,
+    "score_fingerprint": 0.25,
+    "score_gap": 0.20,
+    "score_cooccur": 0.28,
+    "score_diversity": 0.20,
+}
+
+
+def test_winner_calibration_upsert(monkeypatch):
+    """save_winner_calibration 두 번 호출 시 upsert — 행 1개, 값은 마지막 것."""
+    db = _fresh_db(monkeypatch)
+    winning = [3, 7, 15, 22, 33, 41]
+    db.save_winner_calibration(draw_no=200, winning=winning,
+                               scores=_SCORES, percentile=75.0,
+                               my_pick_avg=0.9, cache_draws=100)
+    # 두 번째 저장 — percentile, my_pick_avg 업데이트
+    scores2 = {**_SCORES, "score_total": 2.00}
+    db.save_winner_calibration(draw_no=200, winning=winning,
+                               scores=scores2, percentile=80.0,
+                               my_pick_avg=1.1, cache_draws=110)
+    row = db.get_winner_calibration(200)
+    assert row is not None
+    # 행이 1개만 존재하는지 확인
+    with db._conn() as conn:
+        cnt = conn.execute(
+            "SELECT COUNT(*) AS c FROM winner_calibration WHERE draw_no=200"
+        ).fetchone()["c"]
+    assert cnt == 1
+    assert row["percentile"] == 80.0
+    assert row["score_total"] == 2.00
+
+
+def test_get_calibrated_draw_nos(monkeypatch):
+    """저장된 draw_no 집합이 get_calibrated_draw_nos에 포함되어야 한다."""
+    db = _fresh_db(monkeypatch)
+    winning = [1, 2, 3, 4, 5, 6]
+    for draw_no in (301, 302, 303):
+        db.save_winner_calibration(draw_no=draw_no, winning=winning,
+                                   scores=_SCORES, percentile=50.0,
+                                   my_pick_avg=0.5, cache_draws=50)
+    nos = db.get_calibrated_draw_nos()
+    assert isinstance(nos, set)
+    assert {301, 302, 303}.issubset(nos)